Dr.-Ing. Jörg Brummund
© TUD/NEFM
Name
Dr.-Ing. Jörg Brummund
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Organization Name
Chair of Computational and Experimental Solid Mechanics
Address
work
Visiting address:
Zeunerbau, Room 354 George-Bähr-Straße 3c
01069 Dresden
Research
- Material modelling
- Modelling of magnetic materials
- Phase field modelling
- Modelling of hydrogels
Teaching
- Tutorials for basic and advanced courses
- Lectures: Tensor analysis, Analytic methods in solid mechanics, Variational calculus
Publications
27 Entries
2026
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Construction of minimal integrity bases for anisotropic hyperelasticity via structural tensors, 8 Jul 2026, In: Journal of the Mechanics and Physics of Solids. 216, 38 p., 106763Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A physics-augmented neural network framework for finite strain incompressible viscoelasticity, 15 Jun 2026, In: Computer Methods in Applied Mechanics and Engineering. 455, 32 p., 118892Electronic (full-text) versionResearch output: Contribution to journal > Research article
2025
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A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks, 1 Dec 2025, In: Computer Methods in Applied Mechanics and Engineering. 447, 118289Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions, 21 Jan 2025, In: Computer Methods in Applied Mechanics and Engineering. 437, 117725Electronic (full-text) versionResearch output: Contribution to journal > Research article
2024
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Viscoelasticty with physics-augmented neural networks: model formulation and training methods without prescribed internal variables, 6 May 2024, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 74, 6, p. 1279-1301, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria, Mar 2024, In: Computer Methods in Applied Mechanics and Engineering. 421, 116739Electronic (full-text) versionResearch output: Contribution to journal > Research article
2023
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Neural networks meet hyperelasticity: A guide to enforcing physics, Oct 2023, In: Journal of the Mechanics and Physics of Solids. 179, 105363Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Overview of phase-field models for fatigue fracture in a unified framework, 4 Aug 2023, In: Engineering Fracture Mechanics. 288, 109318Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A comparative study on different neural network architectures to model inelasticity, 18 Jul 2023, In: International Journal for Numerical Methods in Engineering. 124 (2023), 21, p. 4802-4840, 39 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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FEANN: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining, 8 Feb 2023, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 71, 5, p. 827-851, 25 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
This information is provided by the FIS.
Talks
38 Entries
2024
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Multiscale Modeling with Physics-Augmented Neural Networks Kalina, K. A. (Speaker), Brummund, J. (Involved person), Gebhart, P. (Involved person), Linden, L. (Involved person), Sun, W. (Involved person), Kästner, M. (Involved person) 6 Feb 2024 → 7 Feb 2024 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
2023
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Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables Rosenkranz, M. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 19 Dec 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Physics-augmented neural networks for constitutive modeling of compressible hyperelastic materials Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Klein, D. (Speaker), Weeger, O. (Speaker), Kästner, M. (Involved person) 22 Nov 2023 → 23 Nov 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Data-driven modeling of viscoelastic materials using physics-augmented neural networks Rosenkranz, M. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 22 Aug 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Physics-augmented neural networks meet hyperelasticity: A guide how to enforce general physical requirements Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Klein, D. (Speaker), Weeger, O. (Speaker), Kästner, M. (Involved person) 19 Jun 2023 → 21 Jun 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Constitutive modeling based on physics-augmented neural networks for compressible hyperelastic materials Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Klein, D. (Speaker), Weeger, O. (Speaker), Kästner, M. (Involved person) 30 May 2023 → 2 Jun 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Automated Constitutive Modeling of Viscoelastic Materials using Physics-Augmented Neural Networks Rosenkranz, M. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 31 May 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Physics-augmented neural networks meet hyperelasticity Kalina, K. A. (Speaker), Linden, L. (Involved person), Brummund, J. (Involved person), Klein, D. (Involved person), Weeger, O. (Involved person), Kästner, M. (Involved person) 21 Mar 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Physics-augmented neural networks meet hyperelasticity Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Klein, D. (Speaker), Weeger, O. (Speaker), Kästner, M. (Involved person) 20 Mar 2023 → 21 Mar 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
2022
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An efficient data-driven multiscale scheme based on physics-constrained neural networks and autonomous data mining Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 19 Dec 2022 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
This information is provided by the FIS.